Pandas Profiling Report

Dataset statistics

Number of variables	11
Number of observations	462
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	39.8 KiB
Average record size in memory	88.3 B

Variable types

Numeric	9
Categorical	2

Alerts

`adiposity` is highly correlated with `obesity` and 1 other fields	High correlation
`obesity` is highly correlated with `adiposity`	High correlation
`age` is highly correlated with `adiposity`	High correlation
`names` is uniformly distributed	Uniform
`names` has unique values	Unique
`tobacco` has 107 (23.2%) zeros	Zeros
`alcohol` has 110 (23.8%) zeros	Zeros

Reproduction

Analysis started	2022-11-01 20:23:38.782649
Analysis finished	2022-11-01 20:23:59.641655
Duration	20.86 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

names
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	462
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	231.9350649

Minimum	1
Maximum	463
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	1
5-th percentile	24.05
Q1	116.25
median	231.5
Q3	347.75
95-th percentile	439.95
Maximum	463
Range	462
Interquartile range (IQR)	231.5

Descriptive statistics

Standard deviation	133.9385851
Coefficient of variation (CV)	0.5774831207
Kurtosis	-1.203538107
Mean	231.9350649
Median Absolute Deviation (MAD)	116
Skewness	0.001436279421
Sum	107154
Variance	17939.54458
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	0.2%
319	1	0.2%
317	1	0.2%
316	1	0.2%
315	1	0.2%
314	1	0.2%
313	1	0.2%
312	1	0.2%
311	1	0.2%
310	1	0.2%
Other values (452)	452	97.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.2%
2	1	0.2%
3	1	0.2%
4	1	0.2%
5	1	0.2%
6	1	0.2%
7	1	0.2%
8	1	0.2%
9	1	0.2%
10	1	0.2%

Value	Count	Frequency (%)
463	1	0.2%
462	1	0.2%
461	1	0.2%
460	1	0.2%
459	1	0.2%
458	1	0.2%
457	1	0.2%
456	1	0.2%
455	1	0.2%
454	1	0.2%

sbp
Real number (ℝ_≥0)

Distinct	62
Distinct (%)	13.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	138.3268398

Minimum	101
Maximum	218
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	101
5-th percentile	112
Q1	124
median	134
Q3	148
95-th percentile	176
Maximum	218
Range	117
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	20.49631718
Coefficient of variation (CV)	0.1481731037
Kurtosis	1.781646545
Mean	138.3268398
Median Absolute Deviation (MAD)	12
Skewness	1.180590625
Sum	63907
Variance	420.0990178
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
136	29	6.3%
134	29	6.3%
128	25	5.4%
132	24	5.2%
118	21	4.5%
124	21	4.5%
130	20	4.3%
126	20	4.3%
138	18	3.9%
122	17	3.7%
Other values (52)	238	51.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
101	1	0.2%
102	1	0.2%
103	1	0.2%
106	3	0.6%
108	7	1.5%
109	1	0.2%
110	4	0.9%
112	7	1.5%
114	12	2.6%
116	8	1.7%

Value	Count	Frequency (%)
218	1	0.2%
216	1	0.2%
214	1	0.2%
208	3	0.6%
206	2	0.4%
200	1	0.2%
198	1	0.2%
194	2	0.4%
190	2	0.4%
188	1	0.2%

tobacco
Real number (ℝ_≥0)

ZEROS

Distinct	214
Distinct (%)	46.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.635649351

Minimum	0
Maximum	31.2
Zeros	107
Zeros (%)	23.2%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.0525
median	2
Q3	5.5
95-th percentile	12.49
Maximum	31.2
Range	31.2
Interquartile range (IQR)	5.4475

Descriptive statistics

Standard deviation	4.593024078
Coefficient of variation (CV)	1.263329776
Kurtosis	5.968107866
Mean	3.635649351
Median Absolute Deviation (MAD)	2
Skewness	2.079209667
Sum	1679.67
Variance	21.09587018
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	107	23.2%
6	11	2.4%
3	10	2.2%
0.4	8	1.7%
4	8	1.7%
4.5	7	1.5%
4.2	7	1.5%
12	5	1.1%
0.6	5	1.1%
2	5	1.1%
Other values (204)	289	62.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	107	23.2%
0.01	1	0.2%
0.02	1	0.2%
0.03	1	0.2%
0.04	2	0.4%
0.05	4	0.9%
0.06	1	0.2%
0.07	1	0.2%
0.08	2	0.4%
0.09	1	0.2%

Value	Count	Frequency (%)
31.2	1	0.2%
27.4	1	0.2%
25.01	1	0.2%
20	2	0.4%
19.6	1	0.2%
19.45	1	0.2%
19.2	1	0.2%
18.2	1	0.2%
18	1	0.2%
16	1	0.2%

ldl
Real number (ℝ_≥0)

Distinct	329
Distinct (%)	71.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.740324675

Minimum	0.98
Maximum	15.33
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0.98
5-th percentile	2.1945
Q1	3.2825
median	4.34
Q3	5.79
95-th percentile	8.404
Maximum	15.33
Range	14.35
Interquartile range (IQR)	2.5075

Descriptive statistics

Standard deviation	2.070909161
Coefficient of variation (CV)	0.4368707426
Kurtosis	2.876552943
Mean	4.740324675
Median Absolute Deviation (MAD)	1.195
Skewness	1.31310398
Sum	2190.03
Variance	4.288664753
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.37	5	1.1%
3.95	5	1.1%
3.57	5	1.1%
3.58	4	0.9%
2.4	4	0.9%
4.16	4	0.9%
3.3	4	0.9%
5.63	3	0.6%
3.2	3	0.6%
3.17	3	0.6%
Other values (319)	422	91.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.98	1	0.2%
1.07	1	0.2%
1.43	1	0.2%
1.55	1	0.2%
1.59	1	0.2%
1.71	1	0.2%
1.72	1	0.2%
1.74	1	0.2%
1.77	1	0.2%
1.8	1	0.2%

Value	Count	Frequency (%)
15.33	1	0.2%
14.16	1	0.2%
12.42	1	0.2%
11.89	1	0.2%
11.61	1	0.2%
11.41	1	0.2%
11.32	1	0.2%
11.17	1	0.2%
10.58	1	0.2%
10.53	1	0.2%

adiposity
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	408
Distinct (%)	88.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.4067316

Minimum	6.74
Maximum	42.49
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	6.74
5-th percentile	12.0065
Q1	19.775
median	26.115
Q3	31.2275
95-th percentile	37.1165
Maximum	42.49
Range	35.75
Interquartile range (IQR)	11.4525

Descriptive statistics

Standard deviation	7.780698596
Coefficient of variation (CV)	0.306245554
Kurtosis	-0.6984386244
Mean	25.4067316
Median Absolute Deviation (MAD)	5.7
Skewness	-0.2146459286
Sum	11737.91
Variance	60.53927064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30.79	3	0.6%
27.55	3	0.6%
21.1	3	0.6%
29.3	3	0.6%
24.65	2	0.4%
29.18	2	0.4%
30.9	2	0.4%
30.11	2	0.4%
26.08	2	0.4%
32.03	2	0.4%
Other values (398)	438	94.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.74	1	0.2%
7.12	1	0.2%
8.66	1	0.2%
9.28	1	0.2%
9.37	1	0.2%
9.39	1	0.2%
9.64	1	0.2%
9.69	2	0.4%
9.74	1	0.2%
10.05	1	0.2%

Value	Count	Frequency (%)
42.49	1	0.2%
42.17	1	0.2%
42.06	1	0.2%
41.05	1	0.2%
40.6	1	0.2%
39.97	1	0.2%
39.71	1	0.2%
39.68	1	0.2%
39.66	1	0.2%
39.64	1	0.2%

famhist
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

Absent	270
Present	192

Length

Max length	7
Median length	6
Mean length	6.415584416
Min length	6

Characters and Unicode

Total characters	2964
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Present
2nd row	Absent
3rd row	Present
4th row	Present
5th row	Present

Common Values

Value	Count	Frequency (%)
Absent	270	58.4%
Present	192	41.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
absent	270	58.4%
present	192	41.6%

Most occurring characters

Value	Count	Frequency (%)
e	654	22.1%
s	462	15.6%
n	462	15.6%
t	462	15.6%
A	270	9.1%
b	270	9.1%
P	192	6.5%
r	192	6.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2502	84.4%
Uppercase Letter	462	15.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	654	26.1%
s	462	18.5%
n	462	18.5%
t	462	18.5%
b	270	10.8%
r	192	7.7%

Uppercase Letter

Value	Count	Frequency (%)
A	270	58.4%
P	192	41.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2964	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	654	22.1%
s	462	15.6%
n	462	15.6%
t	462	15.6%
A	270	9.1%
b	270	9.1%
P	192	6.5%
r	192	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2964	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	654	22.1%
s	462	15.6%
n	462	15.6%
t	462	15.6%
A	270	9.1%
b	270	9.1%
P	192	6.5%
r	192	6.5%

typea
Real number (ℝ_≥0)

Distinct	54
Distinct (%)	11.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53.1038961

Minimum	13
Maximum	78
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	13
5-th percentile	36
Q1	47
median	53
Q3	60
95-th percentile	69
Maximum	78
Range	65
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.817534116
Coefficient of variation (CV)	0.1848740834
Kurtosis	0.4704023399
Mean	53.1038961
Median Absolute Deviation (MAD)	6
Skewness	-0.3464377547
Sum	24534
Variance	96.38397611
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52	25	5.4%
57	23	5.0%
54	21	4.5%
50	21	4.5%
49	20	4.3%
60	18	3.9%
56	18	3.9%
55	17	3.7%
61	17	3.7%
47	17	3.7%
Other values (44)	265	57.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13	1	0.2%
20	1	0.2%
25	1	0.2%
26	1	0.2%
28	1	0.2%
29	1	0.2%
30	2	0.4%
31	2	0.4%
32	1	0.2%
33	4	0.9%

Value	Count	Frequency (%)
78	1	0.2%
77	1	0.2%
75	1	0.2%
74	2	0.4%
73	2	0.4%
72	4	0.9%
71	2	0.4%
70	5	1.1%
69	7	1.5%
68	6	1.3%

obesity
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	400
Distinct (%)	86.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.04411255

Minimum	14.7
Maximum	46.58
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	14.7
5-th percentile	20.17
Q1	22.985
median	25.805
Q3	28.4975
95-th percentile	33.138
Maximum	46.58
Range	31.88
Interquartile range (IQR)	5.5125

Descriptive statistics

Standard deviation	4.213680227
Coefficient of variation (CV)	0.161790125
Kurtosis	2.255971618
Mean	26.04411255
Median Absolute Deviation (MAD)	2.71
Skewness	0.9052194041
Sum	12032.38
Variance	17.75510105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24.86	4	0.9%
26.09	4	0.9%
22.51	3	0.6%
21.94	3	0.6%
24.98	3	0.6%
22.01	3	0.6%
27.29	3	0.6%
28.4	3	0.6%
25.99	3	0.6%
22.59	3	0.6%
Other values (390)	430	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14.7	1	0.2%
17.75	1	0.2%
17.81	1	0.2%
17.89	1	0.2%
18.36	1	0.2%
18.46	1	0.2%
18.5	1	0.2%
18.75	1	0.2%
19.15	1	0.2%
19.3	1	0.2%

Value	Count	Frequency (%)
46.58	1	0.2%
45.72	1	0.2%
41.76	1	0.2%
40.34	1	0.2%
38.8	1	0.2%
37.71	1	0.2%
37.41	1	0.2%
37.24	1	0.2%
36.46	1	0.2%
36.06	1	0.2%

alcohol
Real number (ℝ_≥0)

ZEROS

Distinct	249
Distinct (%)	53.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.04439394

Minimum	0
Maximum	147.19
Zeros	110
Zeros (%)	23.8%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.51
median	7.51
Q3	23.8925
95-th percentile	66.8495
Maximum	147.19
Range	147.19
Interquartile range (IQR)	23.3825

Descriptive statistics

Standard deviation	24.48105869
Coefficient of variation (CV)	1.43631148
Kurtosis	6.421109969
Mean	17.04439394
Median Absolute Deviation (MAD)	7.51
Skewness	2.312698937
Sum	7874.51
Variance	599.3222347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	110	23.8%
2.06	16	3.5%
0.51	8	1.7%
14.4	5	1.1%
43.2	5	1.1%
11.11	5	1.1%
8.23	5	1.1%
8.33	5	1.1%
4.11	4	0.9%
3.81	4	0.9%
Other values (239)	295	63.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	110	23.8%
0.19	1	0.2%
0.26	1	0.2%
0.37	2	0.4%
0.51	8	1.7%
0.6	1	0.2%
0.68	2	0.4%
0.69	1	0.2%
0.74	2	0.4%
0.86	1	0.2%

Value	Count	Frequency (%)
147.19	1	0.2%
145.29	1	0.2%
144	1	0.2%
120.03	1	0.2%
109.8	1	0.2%
108	1	0.2%
100.32	1	0.2%
97.2	1	0.2%
92.62	1	0.2%
90.93	1	0.2%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	49
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	42.81601732

Minimum	15
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.7 KiB

Quantile statistics

Minimum	15
5-th percentile	17
Q1	31
median	45
Q3	55
95-th percentile	62
Maximum	64
Range	49
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	14.60895644
Coefficient of variation (CV)	0.3412030675
Kurtosis	-1.01622901
Mean	42.81601732
Median Absolute Deviation (MAD)	12
Skewness	-0.3817342585
Sum	19781
Variance	213.4216084
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
16	20	4.3%
58	17	3.7%
17	17	3.7%
61	16	3.5%
59	16	3.5%
55	16	3.5%
60	15	3.2%
45	14	3.0%
53	14	3.0%
49	14	3.0%
Other values (39)	303	65.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	3	0.6%
16	20	4.3%
17	17	3.7%
18	8	1.7%
19	2	0.4%
20	6	1.3%
21	3	0.6%
23	2	0.4%
24	6	1.3%
25	4	0.9%

Value	Count	Frequency (%)
64	13	2.8%
63	8	1.7%
62	12	2.6%
61	16	3.5%
60	15	3.2%
59	16	3.5%
58	17	3.7%
57	8	1.7%
56	9	1.9%
55	16	3.5%

chd
Categorical

Distinct	2
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	3.7 KiB

0	302
1	160

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	462
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	302	65.4%
1	160	34.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	302	65.4%
1	160	34.6%

Most occurring characters

Value	Count	Frequency (%)
0	302	65.4%
1	160	34.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	462	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	302	65.4%
1	160	34.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	462	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	302	65.4%
1	160	34.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	462	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	302	65.4%
1	160	34.6%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	names	sbp	tobacco	ldl	adiposity	famhist	typea	obesity	alcohol	age	chd
0	1	160	12.00	5.73	23.11	Present	49	25.30	97.20	52	1
1	2	144	0.01	4.41	28.61	Absent	55	28.87	2.06	63	1
2	3	118	0.08	3.48	32.28	Present	52	29.14	3.81	46	0
3	4	170	7.50	6.41	38.03	Present	51	31.99	24.26	58	1
4	5	134	13.60	3.50	27.78	Present	60	25.99	57.34	49	1
5	6	132	6.20	6.47	36.21	Present	62	30.77	14.14	45	0
6	7	142	4.05	3.38	16.20	Absent	59	20.81	2.62	38	0
7	8	114	4.08	4.59	14.60	Present	62	23.11	6.72	58	1
8	9	114	0.00	3.83	19.40	Present	49	24.86	2.49	29	0
9	10	132	0.00	5.80	30.96	Present	69	30.11	0.00	53	1

Last rows

	names	sbp	tobacco	ldl	adiposity	famhist	typea	obesity	alcohol	age	chd
452	454	154	5.53	3.20	28.81	Present	61	26.15	42.79	42	0
453	455	124	1.60	7.22	39.68	Present	36	31.50	0.00	51	1
454	456	146	0.64	4.82	28.02	Absent	60	28.11	8.23	39	1
455	457	128	2.24	2.83	26.48	Absent	48	23.96	47.42	27	1
456	458	170	0.40	4.11	42.06	Present	56	33.10	2.06	57	0
457	459	214	0.40	5.98	31.72	Absent	64	28.45	0.00	58	0
458	460	182	4.20	4.41	32.10	Absent	52	28.61	18.72	52	1
459	461	108	3.00	1.59	15.23	Absent	40	20.09	26.64	55	0
460	462	118	5.40	11.61	30.79	Absent	64	27.35	23.97	40	0
461	463	132	0.00	4.82	33.41	Present	62	14.70	0.00	46	1

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Auto

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows